With the increasing degree of intelligence

digitization and integration of modern large-scale electromechanical systems

traditional reliability modeling and analysis techniques can no longer meet the evaluation needs of modern complex systems characterized by epistemic uncertainty and related failures. Interval analysis method is combined with Bayesian network to establish an interval Bayesian network. In the Bayesian network

component failure rates are described in the form of intervals. Under the framework of interval Bayesian network

the Copula theory is fused to analyze the failure dependence in the system

and the reliability analysis and evaluation method of complex system based on interval Bayesian network is proposed. Finally

the method is applied to the reliability modeling and evaluation of a compression system. Through the analysis of the real system

the effectiveness of the system reliability analysis method under the influence of multiple factors is demonstrated.